

MSc Advanced Computational Mathematics
- Public University
Faculty of Science
MSc Advanced Computational Mathematics at University of Strathclyde Overview
University of Strathclyde is among the popular universities to study MSc Advanced Computational Mathematics from abroad. The duration of MSc Advanced Computational Mathematics program is 12 months. The first-year University of Strathclyde tuition fee for MSc Advanced Computational Mathematics is around Pound 25,500 (INR 3,297,150). Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around Pound 6,808 (INR 880,274). Indian students must meet the University of Strathclyde admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 12 months |
Tuition & Fees | ₹32.69 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc Advanced Computational Mathematics at University of Strathclyde Fees
To get admission in MSc Advanced Computational Mathematics at University of Strathclyde students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is Pound 25,500 (INR 3,297,150). In addition to these students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 32,68,518 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,72,630 |
| Insurance | INR 99,465 |
Download exam sample paper
MSc Advanced Computational Mathematics at University of Strathclyde Entry Requirements
- No specific cutoff mentioned
- 60%
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- Minimum second-class (2:2) Honours degree or overseas equivalent* in mathematics, computer science or a closely related discipline
- Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.
- For entry to Strathclyde postgraduate programmes, we'd look for a first-class undergraduate degree (approx 60%) from a recognised Indian institution. Although 60% is a general entry requirement we understand that the marking system in some states and national universities make it harder to achieve 60%, therefore we will accept 55% from University of Mumbai, University of Calcutta, University of Delhi etc. Graduates from the IITs and IIMs will also be considered with marks in the region of 55%

Calculate your score and check your eligibility at over 2000+ universities.
- No specific cutoff mentioned

Calculate your score and check your eligibility at over 2000+ universities.
- No specific cutoff mentioned
- Marks - 6/9
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- Must have an English language minimum score of IELTS 6.0 (with no component below 5.5)
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 115/160
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- 115 overall, with a minimum of 105 in Reading, Speaking and Writing, and a minimum of 100 in Listening.
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MSc Advanced Computational Mathematics at University of Strathclyde Rankings
| Rank | Rank Publisher |
|---|---|
| #17 | |
| #39 | |
| #30 |
University of StrathclydeStudents Ratings & Reviews
- 61% students never faced discrimination in this university
MSc Advanced Computational Mathematics at University of Strathclyde Highlights
- MSc Advanced Computational Mathematics is an advanced course, offering the opportunity to develop understanding of computational mathematics and numerical analysis, enabling students to model complex real-world problems.
- The course combines theoretical foundations with practical computing skills, making students highly employable in finance, technology and scientific computing.
- The Student will have the opportunity to gain skills in:
1. computation and algorithmic techniques
2. machine learning
3. development and implementation of numerical methods
4. working in an interdisciplinary framework
5. problem solving
6. effective communication




